OpenML
Supervised Classification on dna

Supervised Classification on dna

Task 167140 Supervised Classification dna 4967 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.4626, kappa: 0.1361, kb_relative_information_score: 925.0986, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7654, predictive_accuracy: 0.5719, prior_entropy: 1.48, recall: 0.5719, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9623, kappa: 0.9386, kb_relative_information_score: 2997.3738, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 1.48, recall: 0.9623, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9317, kappa: 0.889, kb_relative_information_score: 2757.825, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9319, predictive_accuracy: 0.9316, prior_entropy: 1.48, recall: 0.9316, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9452, kappa: 0.9109, kb_relative_information_score: 2768.7437, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9457, predictive_accuracy: 0.9451, prior_entropy: 1.48, recall: 0.9451, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9453, kappa: 0.9111, kb_relative_information_score: 2773.0909, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9457, predictive_accuracy: 0.9451, prior_entropy: 1.48, recall: 0.9451, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.92, kappa: 0.8702, kb_relative_information_score: 2676.9453, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9209, predictive_accuracy: 0.9196, prior_entropy: 1.48, recall: 0.9196, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9337, kappa: 0.8923, kb_relative_information_score: 2861.6439, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9341, predictive_accuracy: 0.9335, prior_entropy: 1.48, recall: 0.9335, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9434, kappa: 0.9081, kb_relative_information_score: 2910.5767, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9439, predictive_accuracy: 0.9432, prior_entropy: 1.48, recall: 0.9432, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.5837, kappa: 0.3078, kb_relative_information_score: 1301.6006, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7874, predictive_accuracy: 0.6431, prior_entropy: 1.48, recall: 0.6431, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.6514, kappa: 0.4297, kb_relative_information_score: 1586.8612, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8041, predictive_accuracy: 0.6971, prior_entropy: 1.48, recall: 0.6971, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9357, kappa: 0.8957, kb_relative_information_score: 2715.6479, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9366, predictive_accuracy: 0.9353, prior_entropy: 1.48, recall: 0.9353, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9094, kappa: 0.8527, kb_relative_information_score: 2536.2375, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.91, predictive_accuracy: 0.909, prior_entropy: 1.48, recall: 0.909, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6069, kappa: 0.3431, kb_relative_information_score: 1382.8067, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.793, predictive_accuracy: 0.6585, prior_entropy: 1.48, recall: 0.6585, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9164, kappa: 0.8624, kb_relative_information_score: 1680.9256, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9227, predictive_accuracy: 0.9178, prior_entropy: 1.48, recall: 0.9178, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.5396, kappa: 0.243, kb_relative_information_score: 1155.7678, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7776, predictive_accuracy: 0.6155, prior_entropy: 1.48, recall: 0.6155, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.93, kappa: 0.8863, kb_relative_information_score: 2706.8487, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9306, predictive_accuracy: 0.9297, prior_entropy: 1.48, recall: 0.9297, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.3597, kappa: 0.0058, kb_relative_information_score: 658.2805, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.751, predictive_accuracy: 0.5213, prior_entropy: 1.48, recall: 0.5213, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9492, kappa: 0.9174, kb_relative_information_score: 2321.153, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9494, predictive_accuracy: 0.9492, prior_entropy: 1.48, recall: 0.9492, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9097, kappa: 0.8533, kb_relative_information_score: 2561.723, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9104, predictive_accuracy: 0.9093, prior_entropy: 1.48, recall: 0.9093, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.934, kappa: 0.8925, kb_relative_information_score: 1723.2253, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9352, predictive_accuracy: 0.9347, prior_entropy: 1.48, recall: 0.9347, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9215, kappa: 0.8725, kb_relative_information_score: 2733.9427, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9219, predictive_accuracy: 0.9212, prior_entropy: 1.48, recall: 0.9212, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9562, kappa: 0.9285, kb_relative_information_score: 2963.4545, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9566, predictive_accuracy: 0.9564, prior_entropy: 1.48, recall: 0.9564, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.4579, kappa: 0.1298, kb_relative_information_score: 911.8423, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7646, predictive_accuracy: 0.5694, prior_entropy: 1.48, recall: 0.5694, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9634, kappa: 0.9405, kb_relative_information_score: 3008.1255, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9635, predictive_accuracy: 0.9633, prior_entropy: 1.48, recall: 0.9633, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 2797.9956, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9484, predictive_accuracy: 0.9479, prior_entropy: 1.48, recall: 0.9479, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9484, kappa: 0.9162, kb_relative_information_score: 2732.4691, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9489, predictive_accuracy: 0.9482, prior_entropy: 1.48, recall: 0.9482, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.3869, kappa: 0.0389, kb_relative_information_score: 724.5687, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7544, predictive_accuracy: 0.5339, prior_entropy: 1.48, recall: 0.5339, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9515, kappa: 0.9213, kb_relative_information_score: 2950.6221, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.952, predictive_accuracy: 0.9513, prior_entropy: 1.48, recall: 0.9513, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9431, kappa: 0.9076, kb_relative_information_score: 2699.1235, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9437, predictive_accuracy: 0.9429, prior_entropy: 1.48, recall: 0.9429, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6069, kappa: 0.3431, kb_relative_information_score: 1382.8067, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.793, predictive_accuracy: 0.6585, prior_entropy: 1.48, recall: 0.6585, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9264, kappa: 0.8805, kb_relative_information_score: 2632.9675, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9274, predictive_accuracy: 0.9259, prior_entropy: 1.48, recall: 0.9259, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.94, kappa: 0.9024, kb_relative_information_score: 2539.6098, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9404, predictive_accuracy: 0.9397, prior_entropy: 1.48, recall: 0.9397, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9242, kappa: 0.8771, kb_relative_information_score: 2652.2099, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9259, predictive_accuracy: 0.9237, prior_entropy: 1.48, recall: 0.9237, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9286, kappa: 0.8839, kb_relative_information_score: 2757.3524, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9287, predictive_accuracy: 0.9284, prior_entropy: 1.48, recall: 0.9284, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6032, kappa: 0.3374, kb_relative_information_score: 1369.5487, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7921, predictive_accuracy: 0.656, prior_entropy: 1.48, recall: 0.656, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0578,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9553, kappa: 0.9274, kb_relative_information_score: 2970.2089, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9558, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3821,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9581, kappa: 0.9319, kb_relative_information_score: 2983.6052, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9584, predictive_accuracy: 0.9579, prior_entropy: 1.48, recall: 0.9579, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9282, kappa: 0.8834, kb_relative_information_score: 2833.7629, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 1.48, recall: 0.9281, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9415, kappa: 0.905, kb_relative_information_score: 2900.9368, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9419, predictive_accuracy: 0.9413, prior_entropy: 1.48, recall: 0.9413, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9212, kappa: 0.8722, kb_relative_information_score: 2475.7702, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9229, predictive_accuracy: 0.9206, prior_entropy: 1.48, recall: 0.9206, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9471, kappa: 0.9139, kb_relative_information_score: 2488.0309, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9474, predictive_accuracy: 0.947, prior_entropy: 1.48, recall: 0.947, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, kappa: 0.0284, kb_relative_information_score: 703.0531, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5298, prior_entropy: 1.48, recall: 0.5298, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9118, kappa: 0.8568, kb_relative_information_score: 2571.2651, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9125, predictive_accuracy: 0.9115, prior_entropy: 1.48, recall: 0.9115, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7776, kappa: 0.6249, kb_relative_information_score: 2082.1304, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8459, predictive_accuracy: 0.7906, prior_entropy: 1.48, recall: 0.7906, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9627, kappa: 0.9395, kb_relative_information_score: 3005.42, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9629, predictive_accuracy: 0.9626, prior_entropy: 1.48, recall: 0.9626, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9462, kappa: 0.9127, kb_relative_information_score: 2925.1909, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 1.48, recall: 0.946, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9085, kappa: 0.8514, kb_relative_information_score: 2562.3621, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9111, predictive_accuracy: 0.9074, prior_entropy: 1.48, recall: 0.9074, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9547, kappa: 0.9264, kb_relative_information_score: 2967.2015, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9552, predictive_accuracy: 0.9545, prior_entropy: 1.48, recall: 0.9545, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7203, kappa: 0.5364, kb_relative_information_score: 1849.2758, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8209, predictive_accuracy: 0.7467, prior_entropy: 1.48, recall: 0.7467, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.5856, kappa: 0.3107, kb_relative_information_score: 1308.2296, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7878, predictive_accuracy: 0.6444, prior_entropy: 1.48, recall: 0.6444, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0755,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9412, kappa: 0.9046, kb_relative_information_score: 2745.2039, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9419, predictive_accuracy: 0.941, prior_entropy: 1.48, recall: 0.941, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9394, kappa: 0.9017, kb_relative_information_score: 2718.7303, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9402, predictive_accuracy: 0.9391, prior_entropy: 1.48, recall: 0.9391, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9295, kappa: 0.8854, kb_relative_information_score: 2330.587, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.93, predictive_accuracy: 0.9294, prior_entropy: 1.48, recall: 0.9294, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4702,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5438, kappa: 0.2489, kb_relative_information_score: 1169.0223, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7785, predictive_accuracy: 0.618, prior_entropy: 1.48, recall: 0.618, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1147,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9135, kappa: 0.8578, kb_relative_information_score: 2743.8387, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9198, predictive_accuracy: 0.9149, prior_entropy: 1.48, recall: 0.9149, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9346, kappa: 0.8937, kb_relative_information_score: 2865.6987, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9349, predictive_accuracy: 0.9344, prior_entropy: 1.48, recall: 0.9344, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9251, kappa: 0.8786, kb_relative_information_score: 2667.9862, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9267, predictive_accuracy: 0.9247, prior_entropy: 1.48, recall: 0.9247, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9447, kappa: 0.9102, kb_relative_information_score: 2916.595, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 1.48, recall: 0.9444, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9584, kappa: 0.9324, kb_relative_information_score: 2984.6526, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9587, predictive_accuracy: 0.9583, prior_entropy: 1.48, recall: 0.9583, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9317, kappa: 0.889, kb_relative_information_score: 2779.1216, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9318, predictive_accuracy: 0.9316, prior_entropy: 1.48, recall: 0.9316, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9297, kappa: 0.886, kb_relative_information_score: 2669.5799, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9309, predictive_accuracy: 0.9294, prior_entropy: 1.48, recall: 0.9294, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9587, kappa: 0.933, kb_relative_information_score: 2987.8288, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 1.48, recall: 0.9586, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3671,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs